Hi,
I have 4 high resolution TSX images, and interested in do some sparse point processing with this too few images (I know that we need at least 15+ images for a robust PS processing), I started with small area processing to have a clue first, I used amp stab index+sp coherence to select points with a relatively high threshold 1.8 ( I am aware that with the few number of images the parameters have got higher values), when I try Multi-image Insar processing to estimate res.h and vel, the temporal coherence is significantly high, all above 0.95 and when I look at the time series of the selected points, they are all aligned in a straight line which sounds strange to me, it sounds like the observation points are drawing a straight line, which shouldn’t be true in reality, I can imagine with only 3 images (two ifgs) we can only fit a straight line and make a very high temp coherence, but when we increase the redundancy to 1 with having 4 images (3 ifgs) and two unknown why the observations are again aligned in a straight line? I also can see a message say the that the master error skipped to correct because of too few images. Do you have any reason for that to let me know, or any suggestion for a few images to process in SARPROZ?
Thanks
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